Website stats and analysis

Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubatio...

2.48 Rating by Usitestat

It has a alexa rank of #3,466,605 in the world. It is a domain having .io extension. It is estimated worth of $ 480.00 and have a daily income of around $ 2.00. As no active threats were reported recently, mxnet.io is SAFE to browse.

Traffic Report

Daily Unique Visitors: 253
Daily Pageviews: 506

Estimated Valuation

Income Per Day: $ 2.00
Estimated Worth: $ 480.00

Search Engine Indexes

Google Indexed Pages: Not Applicable
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Bing Indexed Pages: Not Applicable

Search Engine Backlinks

Google Backlinks: Not Applicable
Bing Backlinks: Not Applicable
Alexa BackLinks: Not Applicable

Safety Information

Google Safe Browsing: No Risk Issues
Siteadvisor Rating: Not Applicable
WOT Trustworthiness: Very Poor
WOT Privacy: Very Poor
WOT Child Safety: Very Poor

Website Ranks & Scores

Alexa Rank: 3,466,605
PageSpeed Score: 89 ON 100
Domain Authority: 49 ON 100
Bounce Rate: Not Applicable
Time On Site: Not Applicable

Web Server Information

Hosted IP Address:

216.239.38.21

Hosted Country:

United States US

Location Latitude:

39.0395

Location Longitude:

-77.4918

Traffic Classification

Total Traffic: No Data
Direct Traffic: No Data
Referral Traffic: No Data
Search Traffic: No Data
Social Traffic: No Data
Mail Traffic: No Data
Display Traffic: No Data

Search Engine Results For mxnet.io

Apache MXNet (@ApacheMXNet) | Twitter

- https://twitter.com/apachemxnet

The latest Tweets from Apache MXNet (@ApacheMXNet). ... started with the Gluon 60-minutes crash course! http://gluon-crash-course.mxnet.io/ # DeepLearning.


MXNet Elastic Inference with Python - Amazon Elastic Inference

- https://docs.aws.amazon.com/elastic-inference/latest/developerguide/ei-python.html?tag=askcom05-20

To use an existing MXNet inference script, import the eimx Python package and ... import eimx import numpy as np path='http://data.mxnet.io/models/imagenet/' ...


mxnet's Profile - Docker Hub

- https://hub.docker.com/u/mxnet

mxnet. Community User. http://mxnet.io/. Joined April 21, 2016. Repositories Starred. Displaying 7 of 7 repositories. mxnet/python. By mxnet • Updated 3 months ...


Apache MXNet – Medium

- https://medium.com/@apachemxnet_56405

May 18, 2018 ... Author: Wu Jun, Amazon AI Software Engineer Translated from: https://zh.mxnet. io/blog/mxboard. Preface. Deep neural networks are ...


MXNet made simple: Image RecordIO with im2rec and Data Loading ...

- https://arthurcaillau.com/image-record-iter/

May 25, 2019 ... MXNet provides a python script named im2rec to package an image dataset to ... (require '[org.apache.clojure-mxnet.io :as mx-io]) (require ...


Tutorial: Neuron Apache MXNet (Incubating) Model Serving — AWS ...

- https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-frameworks/mxnet-neuron/tutorials/tutorial-model-serving.html

... else: from mxnet.contrib import neuron path='http://data.mxnet.io/models/ imagenet/' mx.test_utils.download(path+'resnet/50-layers/resnet-50-0000.params ') ...


mxnet: how to set up a custom mx.io.DataIter to prefetch? - Stack ...

- https://stackoverflow.com/questions/53676981/mxnet-how-to-set-up-a-custom-mx-io-dataiter-to-prefetch

As you already mentioned, gluon DataLoader is providing prefetching. In your custom DataIterator, you are using Numpy arrays as input.


Apache MXNet | Meetup Pro - Meetup

- https://www.meetup.com/pro/deep-learning-with-apache-mxnet/

We are a group of engineers and scientists at all levels who want to learn, share ideas and discuss about Deep Learning and MXNet (http://mxnet.io). Topics ...


Optimizing training on Apache MXNet - SlideShare

- https://www.slideshare.net/AmazonWebServices/optimizing-training-on-apache-mxnet

Find out more about: • Techniques and tips to optimize trainingon Apache MXNet • Infrastructure performance:storage and I/O, GPU throughput, distributed ...


Use Apache MXNet (Incubating) for Inference with a ResNet 50 ...

- https://docs.amazonaws.cn/en_us/dlami/latest/devguide/tutorial-mxnet-inference-resnet50.html

import mxnet as mx import numpy as np path='http://data.mxnet.io/models/ imagenet/' [mx.test_utils.download(path+'resnet/50-layers/resnet-50-0000. params'), .....


mxnet.io — Apache MXNet documentation

- https://mxnet.apache.org/versions/1.7.0/api/python/docs/api/mxnet/io/index.html

mxnet.io¶. Data iterators for common data formats and utility functions. Functions. CSVIter (*args, ...


AI-MXNet-1.5 - Perl interface to MXNet machine learning library ...

- https://metacpan.org/dist/AI-MXNet

Functions for constructing recurrent neural networks. AI::MXNet::RNN::Params. A container for holding variables. AI::MXNet::RNN::IO. Functions ...


How to use MXNet with Container Station | QNAP

- https://www.qnap.com/en/how-to/tutorial/article/how-to-use-mxnet-with-container-station

Oct 30, 2020 ... How to use MXNet with Container Station ... Apache MXNet (incubating) is an open source deep learning ... Forum: https://discuss.mxnet.io/ ...


An Introduction to MXNet/Gluon | Towards Next Generation Deep ...

- https://mli.github.io/cvpr17/

Jul 26, 2017 ... English: http://gluon.mxnet.io/; 中文: https://zh.gluon.ai/. MXNet is widely used in production environments owing to its strong reputation for speed.


MXNet: What is it and How to Get Started | by Megha Gupta ...

- https://becominghuman.ai/mxnet-what-is-it-and-how-to-get-started-52efd9cb52cf

Jun 7, 2017 ... Build to ease the development of deep learning algorithms, MXNet is a powerful open-source ... To know more about MXNet visit http://mxnet.io/ ...


Ingesting Apache MXNet Gluon Deep Learning Results... - Cloudera ...

- https://community.cloudera.com/t5/Community-Articles/Ingesting-Apache-MXNet-Gluon-Deep-Learning-Results-Via-MQTT/ta-p/248544

Aug 17, 2019 ... Technologies: Python 3, Apache MXNet, Gluon, MQTT, Apache NiFi, OpenCV. Based on http://gluon-crash-course.mxnet.io/predict.html.

Page Resources Breakdown

Homepage Links Analysis

Apache MXNet | A flexible and efficient library for deep learning.
A flexible and efficient library for deep learning.

Website Inpage Analysis

H1 Headings: 1 H2 Headings: 5
H3 Headings: 11 H4 Headings: 1
H5 Headings: Not Applicable H6 Headings: Not Applicable
Total IFRAMEs: Not Applicable Total Images: 14
Google Adsense: Not Applicable Google Analytics: UA-96378503-1

Two Phrase Analysis

Words Occurrences Density Possible Spam
deep learning 5 1.171 % No
and more 4 0.937 % No
the Apache 4 0.937 % No
of the 3 0.703 % No
0121 0110 3 0.703 % No
Apache Software 3 0.703 % No
MXNet and 3 0.703 % No
100 0121 3 0.703 % No
Apache MXNet 3 0.703 % No
by the 3 0.703 % No
160 150 3 0.703 % No
110 100 3 0.703 % No
170 160 3 0.703 % No
180 170 3 0.703 % No
master 180 3 0.703 % No
141 131 3 0.703 % No
150 141 3 0.703 % No
121 110 3 0.703 % No
131 121 3 0.703 % No
The Apache 2 0.468 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
141 131 121 110 3 0.703 % No
131 121 110 100 3 0.703 % No
110 100 0121 0110 3 0.703 % No
150 141 131 121 3 0.703 % No
121 110 100 0121 3 0.703 % No
master 180 170 160 3 0.703 % No
160 150 141 131 3 0.703 % No
180 170 160 150 3 0.703 % No
170 160 150 141 3 0.703 % No
180 master 180 170 2 0.468 % No
The Apache Software Foundation 2 0.468 % No
access by mail devmxnetapacheorg 1 0.234 % No
by mail devmxnetapacheorg Already 1 0.234 % No
Discuss advanced topics Request 1 0.234 % No
advanced topics Request access 1 0.234 % No
topics Request access by 1 0.234 % No
Request access by mail 1 0.234 % No
by Resources Mailing lists 1 0.234 % No
Slack Discuss advanced topics 1 0.234 % No
Resources Mailing lists Developer 1 0.234 % No

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HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Connection: keep-alive
Content-Length: 5154
Server: Apache
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Domain Nameserver Information

Host IP Address Country
ns-cloud-c4.googledomains.com 216.239.38.108 United States United States
ns-cloud-c1.googledomains.com 216.239.32.108 United States United States
ns-cloud-c2.googledomains.com 216.239.34.108 United States United States
ns-cloud-c3.googledomains.com 216.239.36.108 United States United States

DNS Record Analysis

Host Type TTL Extra
mxnet.io A 3593 IP: 216.239.32.21
mxnet.io A 3593 IP: 216.239.34.21
mxnet.io A 3593 IP: 216.239.36.21
mxnet.io A 3593 IP: 216.239.38.21
mxnet.io NS 21600 Target: ns-cloud-c3.googledomains.com
mxnet.io NS 21600 Target: ns-cloud-c4.googledomains.com
mxnet.io NS 21600 Target: ns-cloud-c1.googledomains.com
mxnet.io NS 21600 Target: ns-cloud-c2.googledomains.com
mxnet.io SOA 21600 MNAME: ns-cloud-c1.googledomains.com
RNAME: cloud-dns-hostmaster.google.com
Serial: 163
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mxnet.io MX 3600 Priority: 10
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mxnet.io MX 3600 Priority: 30
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mxnet.io MX 3600 Priority: 40
Target: alt4.gmr-smtp-in.l.google.com
mxnet.io MX 3600 Priority: 5
Target: gmr-smtp-in.l.google.com
mxnet.io AAAA 3593 IPV6: 2001:4860:4802:34::15
mxnet.io AAAA 3593 IPV6: 2001:4860:4802:36::15
mxnet.io AAAA 3593 IPV6: 2001:4860:4802:38::15
mxnet.io AAAA 3593 IPV6: 2001:4860:4802:32::15

Full WHOIS Lookup

Domain Name: MXNET.IO
Registry Domain ID:
D503300000040357228-LRMS
Registrar WHOIS Server:
whois.rrpproxy.net
Registrar URL:
http://www.key-systems.net
Updated Date:
2020-10-25T22:32:56Z
Creation Date:
2016-08-18T06:45:53Z
Registry Expiry Date:
2021-08-18T06:45:53Z
Registrar Registration Expiration
Date:
Registrar: Key-Systems GmbH
Registrar IANA ID:
269
Registrar Abuse Contact Email:
[email protected]
Registrar Abuse Contact Phone:
+49.68949396850
Reseller:
Domain Status:
clientTransferProhibited
https://icann.org/epp#clientTransferProhibited
Registrant
Organization: c/o whoisproxy.com
Registrant State/Province:
VA
Registrant Country: US
Name Server:
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Name Server:
NS-CLOUD-C2.GOOGLEDOMAINS.COM
Name Server:
NS-CLOUD-C3.GOOGLEDOMAINS.COM
Name Server:
NS-CLOUD-C4.GOOGLEDOMAINS.COM
DNSSEC:
signedDelegation

>>> Last update of WHOIS database:
2021-06-07T23:04:40Z

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